How to use aggregation function in groupby
I am having a hard time in transforming the ABC class to CustomClass.
Correct the Invalid Dates using Spark Scala?
Is there any way to convert invalid dates to Valid dates?
Determine if a condition is ever true in an aggregated dataset with Scala spark sql library
I’m trying to aggregate a dataset and determine if a condition is ever true for a row in the dataset.
spark dataframe to check if all the elements are matched to given value of particular column
I have created spark dataframe using scala, here is sample data
adding new column to dataframe of Array[String] type based on condition, spark scala
I have the following dataframe –
+—-+—-+
|colA|colB|
+—-+—-+
| A1| B1|
| A2| B2|
| A3| B3|
+—-+—-+
colA: String, colB: String
How to get every DataFrame transformation preview without using show method
var df1 = spark.read.csv(“/path/test.csv”) var df2 = df1.select(“Name”,”phone”) var df3 = df2.sqlContext.sql(“select Name, phone where phone > 999”) for intermediate transformation data show I have to use the show but it will be heavy in case of thousand of step then whats the solution to see the intermediate df without show. scala apache-spark apache-spark-sql
Scala Spark: average of difference
Given input dataframe with structure: